Summarize the number of validated recordings

Usage

summarize_n_validated(data_list, scenario_numbers, theta_scenario)

Arguments

data_list: A list of masked datasets in the format output from simulate_validatedData.
scenario_numbers: An integer vector denoting the scenarios to be summarized.
theta_scenario: The identifier for the classifier scenario as a character string.

Value

A dataframe object that contains the theta scenario, validation scenario, and number of validated calls.

Examples


psi <- c(0.3, 0.6)
lambda <- c(11, 2)

nspecies <- length(psi)
nsites <- 30
nvisits <- 5

test_theta1 <- matrix(c(0.9, 0.1, 0.15, 0.85), byrow = TRUE, nrow = 2)
val_scenarios <- list(spp1 = c(.75, .5), spp2 = .5)

fake_data <- simulate_validatedData(
  n_datasets = 5,
  design_type = "BySpecies",
  scenarios = val_scenarios,
  nsites = nsites,
  nvisits = nvisits,
  nspecies = nspecies,
  psi = psi,
  lambda = lambda,
  theta = test_theta1,
  save_datasets = FALSE,
  save_masked_datasets = FALSE,
  directory = withr::local_tempdir()
)

summarize_n_validated(
  data_list = fake_data$masked_dfs,
  scenario_numbers = 1:nrow(fake_data$scenarios_df),
  theta_scenario = '1'
)
#> # A tibble: 2 × 4
#>   theta_scenario scenario n_selected n_validated
#>   <chr>          <chr>         <dbl>       <dbl>
#> 1 1              1              504         504 
#> 2 1              2              370.        370.